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Related Experiment Video

Updated: May 26, 2026

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

Direct sensor orientation of a land-based mobile mapping system.

Jiann-Yeou Rau¹, Ayman F Habib, Ana P Kersting

¹Department of Geomatics, National Cheng-Kung University, No.1, University Road, Tainan 701, Taiwan. jyrau@mail.ncku.edu.tw

Sensors (Basel, Switzerland)

|December 14, 2011

Summary

This study introduces a new single-step calibration method for mobile mapping systems (MMS). This approach improves 3D positioning accuracy for road geospatial data acquisition.

Keywords:

Mobile Mapping Systems camera calibration direct georeferencing direct sensor orientation mounting parameters

Related Experiment Videos

Last Updated: May 26, 2026

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

Area of Science:

Geomatics Engineering
Geospatial Information Science
Robotics and Autonomous Systems

Background:

Mobile Mapping Systems (MMS) are crucial for acquiring road environment geospatial data.
The accuracy of MMS heavily relies on the Position and Orientation System (POS), often a costly GPS/Inertial Navigation System (INS).
Accurate system calibration, including sensor mounting parameters, is vital for precise direct georeferencing.

Purpose of the Study:

To introduce a novel single-step procedure for estimating system mounting parameters in MMS.
To compare the proposed single-step method with traditional two-step calibration procedures.
To evaluate the performance and feasibility of the single-step calibration for direct georeferencing.

Main Methods:

Development of a single-step calibration procedure integrating sensor orientation with a relative orientation constraint.
Comparative analysis of the proposed single-step method against traditional two-step calibration techniques.
Evaluation of estimated mounting parameters through direct georeferencing to assess system performance.

Main Results:

The novel single-step calibration method effectively estimates system mounting parameters.
The single-step procedure demonstrates comparable or superior performance to traditional two-step methods.
The proposed system achieves high 3D positioning accuracy in direct georeferencing applications.

Conclusions:

The single-step system calibration method offers a viable and accurate approach for MMS.
This method enhances the feasibility and performance of mobile mapping for geospatial data acquisition.
The findings contribute to more accurate and cost-effective road environment mapping.